Tri-State Pick 3 Results
On Thursday night, May 14, 2026, the Tri-State Pick 3 draw in Vermont brought 199 back after 658 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Winning numbers for 2 draws on May 14, 2026 in Vermont.
Draw times: Evening, Midday.
Our take on the Tri-State Pick 3 results
May 14, 2026Tri-State Pick 3 report — Thursday night, May 14, 2026: 199 returns after 658 days
On Thursday night, May 14, 2026, the Tri-State Pick 3 draw in Vermont brought 199 back after 658 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
Overview
On Thursday night, May 14, 2026, the Tri-State Pick 3 draw in Vermont brought 199 back after 658 days away. Given an expected cadence of 1 in 1,000 draws (~500 days), this interval places the result well beyond typical spacing and makes it a meaningful entry for long-term distribution tracking.
A Long-Awaited Return
The historical record indicates that 199 has been absent for 658 days, placing it among the least active combinations in the current window. Even without a precise last-date reference, the length of the gap is sufficient to classify the return as a low-frequency event.
Combo Profile
From a digit-profile view, this draw holds 2 distinct digits with a repeated digit in the digits. The range from 1 to 9 is a wide spread.
Why Droughts Matter
Extended gaps function as context, not directional - they show where spacing departs from typical cadence. They offer context for distribution stability over time.
Data Notes
The approach: this analysis documents outcomes documented for Thursday night, May 14, 2026 and compares them to historical cadence. The focus is documentation over prediction.
From Stepzero
At its core: these reports are built to document distribution behavior over time as context for disciplined analysis. The aim is context, not a call to action.
Additional Context
Long-horizon tracking is the only reliable way to separate short-term noise from persistent drift. By logging each outcome against its expected cadence, the system builds a distribution profile that becomes more stable as the sample grows.
Adding to the Long-Term Record
Across the long-term record, this result adds a fresh entry to the record to the historical dataset. The record gains clarity as entries accumulate.